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List of Meetings and Events - All


Work session on statistical data confidentiality

5 - 7 October 2015

Helsinki, Finland

 

Document titleDocumentsPresentations
Tentative TimetablePDF
Information Notice 1PDF
Information Notice 2PDF
ReportPDF
Latex templateZIP
Word templateDOC

 

Topic 1: Access to Statistical Data for Scientific Purposes

Access to EU microdata for research purposes
Eurostat 

PDFPDF
Creating a National Remote Access System for Register-based Research
Finland
PDFPDF
New Nordic model for researchers joint access to data from the Nordic Statistical Institution
Denmark
PDFPDF
Circle of Trust for International Microdata Access
Germany
PDFPDF
Virtual Research Environments (VREs) to enable access to confidential data for scientific purposes
Germany
PDFPDF
Micro, remote, safe settings (safePODS) – extending a safe setting network across a country
University of Edinburgh
PDFPDF
Access to Statistical Data for Scientific Purposes
Montenegro
PDFPDF
Evidence-based, context-sensitive, user-centred, risk-managed SDC planning: designing data access solutions for scientific use
Saarland State University of Applied Sciences, University of Dortmund, University of the West of England & UK Data Service
PDFPDF

Topic 2: Identifying and measuring risk of statistical disclosure

Microdata protection: A method that mixes subsampling and calibration
France
PDFPDF
Microdata Masking as Permutation
Univ. Oklahoma & Univ. Rovira I Virgili
PDFPDF
Assessing Disclosure Risk via Record Linkage
Universitat Rovira I Virgili
PDFPDF
Transparency in microaggregation
Univ. Skövde
PDFPDF
Disclosure Risk Measurement with Entropy in Two-Dimensional Sample Based Frequency Tables
Univ. Manchester
PDFPDF
Running an analysis of combined data when the individual records cannot be combined
Univ. Edinburgh, Univ. Bristol & Glasgow Centre for Population Health
PDFPDF

Topic 3: Emerging Challenges to Data Confidentiality

Confidentialized Analysis of Microdata - CSPA project
Canada & Australia 
PDF
Protection of frequency tables – current work at Statistics Sweden
Sweden
PDFPDF
Development of rules from administrative data
Canada
PDF

Topic 4: Practicum: Case Studies and Software

Creating synthetic microdata from official statistics: Random number generation in consideration of Anscombe's quartet
Hitotsubashi Univ. & Chuo Univ. 
PDFPDF
A Graphical User Interface to Manage Cell Suppression on Sets of Linked Tables Using SAS and t Argus
Germany
PDFPDF
Public Use Files of EU-SILC and EU-LFS data
Netherlands
PDFPDF
Statistical data confidentiality and microdata in Albania
Albania
PDFPDF
The application for statistical processing at SURS
Slovenia
PDFPDF
synthpop: An R package for generating synthetic versions of sensitive microdata for statistical disclosure limitation
Univ. Edinburgh

PDF

R code

PDF
New online services for accessing PHC microdata for any user
Romania
PDFPDF
The RAIRD Project: Remote Access Infrastructure for Register Data
Norway
PDFPDF
An Introduction to the Administrative Data Research Network
Univ. Essex
PDF
Statistical confidentiality assurance framework in State Statistics Service of Ukraine
Ukraine
PDF

Topic 5: Preserving Data Quality and Usability in Disclosure-Limited Data

Generating synthetic geocoding information for public release
Germany & Duke Univ.
PDFPDF
Anonymization of longitudinal surveys in the presence of outliers
Saarland State Univ. Applied Sciences
PDFPDF
Using partially synthetic microdata to protect sensitive cells in business statistics
U.S. Bureau of the Census & Cornell Univ.
PDFPDF
Quantitative Assessment of Data Confidentiality and Data Utility to Create Anonymized Census Microdata in Japan
Chuo Univ. & Japan
PDFPDF

Topic 6: New Methodologies for Protecting Data (Disclosure Limitation)

Utility of synthetic microdata generated using parametric and tree-based methods
Univ. Edinburgh 
PDFPDF
Formal privacy protection for data products combining individual and employer frames
Duke Univ., U.S. Census Bureau & Cornell Univ.
PDFPDF
Using BCD CTA for difficult tables: a practical experiment with a real Eurostat table
Universitat Politècnica de Catalunya & Netherlands
PDFPDF
Techniques to apply cell suppression to large sparse linked tables and some results using those techniques on the 2012 (US) Economic Census
United States of America
PDFPDF
General discussion and conclusionsPDF
Panel discussion

PDF

PDF